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A Hypothesis Testing Approach to Semifragile Watermark-Based Authentication

机译:基于半脆弱水印认证的假设测试方法

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This paper studies the problem of achieving watermark semifragility in watermark-based authentication systems through a composite hypothesis testing approach. Embedding a semifragile watermark serves to distinguish legitimate distortions caused by signal-processing manipulations from illegitimate ones caused by malicious tampering. This leads us to consider authentication verification as a composite hypothesis testing problem with the watermark as side information. Based on the hypothesis testing model, we investigate effective embedding strategies to assist the watermark verifier to make correct decisions. Our results demonstrate that quantization-based watermarking is more appropriate than spread-spectrum-based methods to achieve the semifragility tradeoff between two error probabilities. This observation is confirmed by a case study of an additive Gaussian white noise channel with a Gaussian source using two figures of merit: 1) relative entropy of the two hypothesis distributions and 2) the receiver operating characteristic. Finally, we focus on common signal-processing distortions, such as JPEG compression and image filtering, and investigate the discrimination statistic and optimal decision regions to distinguish legitimate and illegitimate distortions. The results of this paper show that our approach provides insights for authentication watermarking and allows for better control of semifragility in specific applications.
机译:本文研究了一种通过复合假设检验方法在基于水印的认证系统中实现水印半脆弱性的问题。嵌入半脆弱水印可将信号处理操作引起的合法失真与恶意篡改造成的非法失真区分开。这导致我们考虑将身份验证验证作为带有水印作为辅助信息的复合假设检验问题。基于假设检验模型,我们研究了有效的嵌入策略,以帮助水印验证者做出正确的决策。我们的结果表明,基于量化的水印比基于扩频的方法更适合实现两个错误概率之间的半脆弱性权衡。通过使用两个品质因数对具有高斯源的加性高斯白噪声信道进行案例研究,证实了这一观察结果:1)两个假设分布的相对熵; 2)接收机工作特性。最后,我们将重点放在常见的信号处理失真上,例如JPEG压缩和图像过滤,并研究鉴别统计量和最佳决策区域,以区分合法失真和非法失真。本文的结果表明,我们的方法为身份验证水印提供了见解,并允许在特定应用中更好地控制半脆弱性。

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